3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
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The Christmas Season as Gift
In her new book, The True Gifts of Christmas: Unwrapping the Meaning Behind Our Most Cherished Traditions, TV’s Megan Alexander shares the origin of her love for the Yuletide season and the meaning behind many of its most beloved traditions. Continue Reading…
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A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a probabilistic model that captures both global patterns and group-level variations. Through each snippet, we set up inference using NUTS, analyze posterior distributions, and perform posterior predictive checks to understand how well our model captures the underlying structure. By approaching the tutorial step by step, we build an intuitive […]
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Expert Commentary Available: U.S. sees 17% Drop in New Foreign Students
New international student enrollment at U.S. colleges and universities plunged 17% in fall 2025, the steepest non-pandemic decline in over a decade, according to data released today by the Institute of International Education. More than half of the 825 institutions surveyed reported decreases, with a majority citing visa application concerns. lead , Neal McCluskey, Director of Cato’s Center for Educational Freedom, warns: “Dropping international student enrollment is troubling for American higher education and the country. The United States […]
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If We Want Mamdani To Beat The NYPD, We Must Build Power
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Statistics at the Command Line for Beginner Data Scientists
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of falling rubble. So far, aerial microrobots have only been able to fly slowly along smooth trajectories, far from the swift, agile flight of real insects — until now. MIT researchers have demonstrated […]
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How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend (corpus processing) is properly built from the ground up, it is possible to offer a full, comprehensive answer to a meaningful prompt, without the need for multiple prompts, rewording your query, having to go through a chat session, or prompt engineering. In this article, I explain how to do it, focusing on enterprise […]
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Prompt Engineering for Time Series Analysis
Strange as it may sound, large language models (LLMs) can be leveraged for data analysis tasks, including specific scenarios such as time series analysis.
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